Simulation of an Intelligent Control Processor for the Car Collision Avoidance System

• Main Authors: Freng-Jie Lin, 林豐傑
• Other Authors: Jeich Mar
• Format: Others
• Language: zh-TW
• Published: 1999
• Online Access: http://ndltd.ncl.edu.tw/handle/92778984850139840925

碩士 === 元智大學 === 電機與資訊工程研究所 === 87 === The car collision avoidance system is an important auxiliary equipment of the intelligent vehicle highway system (IVHS) . The system measures the distance and speed relative to the car in front with a radar detector . If the two cars get too close , the intelligent control processor automatically decreases the car speed and maintains a safe distance . A FMCW radar is used as a sensor of the car collision avoidance system . The combined FMCW triangular and sawtooth frequency-modulated waveforms are designed to resolve ambiguity among multiple targets . The fast fourier transform (FFT) is used to implement the Doppler processor which measures the beat frequencies and computes the relative speed and distant between host car and the leading car . The control processor based on fuzzy rule receives the measured relative speed and distance information and makes the decision to increase or decrease the car speed . In this thesis , the acceleration or deacceleration control rate is defined by the characteristics of current vehicles in the market . Fuzzy inference system (FIS) and fuzzy adaptive network are used as the control rule respectively to simulate the performance of the car collision avoidance system .